Kyran vs Akzhayik: result 1-2 and analysis
1. DivisionRegular Season - 17Kick-off on August 17, 2019 at 11:30 AM (UTC)Stadion Qajimuqan Muñaytpasov, Shymkent
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What was the result of Kyran vs Akzhayik?
Akzhayik won 1-2 on August 17, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kyran have 4 wins, 5 draws and 6 defeats; Akzhayik have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2019 | Astana II(away) | 1-6 | 1. Division |
| Aug 3, 2019 | Sport Academy Kairat(home) | 4-3 | 1. Division |
| Jul 27, 2019 | Baykonur(away) | 2-3 | 1. Division |
| Jul 6, 2019 | Altay(home) | 1-4 | 1. Division |
| Jun 29, 2019 | Kaspiy(away) | 1-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2019 | Kyzyl-Zhar(home) | 0-0 | 1. Division |
| Aug 4, 2019 | Aktobe Jas(away) | 3-1 | 1. Division |
| Jul 27, 2019 | Zhetysu II(home) | 1-1 | 1. Division |
| Jul 6, 2019 | Sport Academy Kairat(home) | 2-1 | 1. Division |
| Jun 29, 2019 | Baykonur(away) | 2-0 | 1. Division |
What does the head-to-head say?
Across the last 5 meetings: 0 Kyran wins, 3 draws, 2 Akzhayik wins.
| Date | Score | Competition |
|---|---|---|
| May 4, 2019 | Akzhayik 2-2 Kyran | 1. Division |
| Aug 29, 2015 | Kyran 2-3 Akzhayik | 1. Division |
| May 16, 2015 | Akzhayik 5-1 Kyran | 1. Division |
| Aug 23, 2014 | Akzhayik 0-0 Kyran | 1. Division |
| Jun 21, 2014 | Kyran 2-2 Akzhayik | 1. Division |
How many goals should we expect?
Kyran score 1.9 and concede 2.3 goals per match over their last 15; Akzhayik score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kyran | 1.9 | 2.3 | 1 | 14/15 | 13/15 |
| Akzhayik | 1.5 | 0.9 | 6 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Kyran vs Akzhayik?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy